AI-Powered Web Platform for Enhanced Health Accessibility and Early Disease Detection

This manuscript introduces an AI-powered, web-based platform designed to enhance health accessibility and facilitate early disease detection, addressing individuals' reluctance to seek timely medical attention. This system offers quick health insights by analyzing user symptoms and providing predictive feedback, while also assisting medical professionals through automated analysis of medical reports via machine learning models for specific diseases. Built on a modern MERN stack with Python-based AI libraries, the platform utilizes public medical datasets from sources like NIH for model training. This manuscript highlights the transformative potential of integrating AI into digital healthcare, aiming to streamline symptom analysis, improve accessibility, and reduce the burden on medical professionals.

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Publication Details

Journal
Advances in Data Science and Adaptive Analysis
Published
2026-05-29
DOI
https://doi.org/10.1142/s2424922x26400048
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Powered Web Platform for Enhanced Health Accessibility and Early Disease Detection

Rakesh Kumar Saini, Hemraj Saini, Neha Yadav
Advances in Data Science and Adaptive Analysis
Artificial Intelligence in Healthcare and Education
article

AI-Powered Web Platform for Enhanced Health Accessibility and Early Disease Detection

Rakesh Kumar Saini, Hemraj Saini, Neha Yadav
article en

Abstract

This manuscript introduces an AI-powered, web-based platform designed to enhance health accessibility and facilitate early disease detection, addressing individuals' reluctance to seek timely medical attention. This system offers quick health insights by analyzing user symptoms and providing predictive feedback, while also assisting medical professionals through automated analysis of medical reports via machine learning models for specific diseases. Built on a modern MERN stack with Python-based AI libraries, the platform utilizes public medical datasets from sources like NIH for model training. This manuscript highlights the transformative potential of integrating AI into digital healthcare, aiming to streamline symptom analysis, improve accessibility, and reduce the burden on medical professionals.

Advances in Data Science and Adaptive Analysis
Twitter (United States) (US)
Openalex Percentile: Top 10%
Artificial Intelligence in Healthcare and Education
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